Bonferroni Weighted Logarithmic Averaging Distance Operator Applied to Investment Selection Decision Making

Distance measures in ordered weighted averaging (OWA) operators allow the modelling of complex decision making problems where a set ideal values or characteristics are required to be met. The objective this paper is introduce extended distance and logarithmic OWA-based especially designed for analysis financial investment options. Based on immediate weights, Bonferroni means operators, we weights (IWLD), (IWOWLAD), hybrid (HWLD), (B-OWLAD) operator, (B-IWOWLAD) operator (HWLD). A illustrative example proposed, main benefits characteristic design introduced shown, which include interrelation between modelled arguments from makers stakeholders, comparison an that possible companies must portray. Moreover, some families, particular cases brief examples proposed studied presented. Finally, among advantages modeling diverse perspectives, attitudinal scenarios, through elements with given by